Predict and manage energy market exposure
CVector analyzes energy use at the equipment level in the context of its energy demand, price, and volatility predictions. This enables dollar-scored recommendations to predict and optimize energy consumption and revenue impact from, for example, demand charges, storage cycling, and ramp profiles.
Predict and optimize energy market exposure before it impacts production
Organization-wide insights on plant and market energy data.
CVector builds alignment and trust across trading desks, commercial teams, and operators by providing a unified analysis of energy and market signals in real time.
Demand and grid stress predicted before they reach production.
CVector predicts demand and grid stress to recommend scheduling and ramp profiles that preserve output before price spikes or voltage events affect production.
Flexible load decisions priced by timing and value.
CVector maps flexible load options against timing, availability, and value, so plant teams can capture stacked-revenue and time-of-use shifting opportunities.
Measurable impact across energy, output, and equipment performance.
Each recommendation is dollar-scored so plant teams can see what each shift, cycle, or ramp is worth.
Continuous analysis for equipment-level energy recommendations.
CVector maps equipment-level energy use and contextualizes it with weather, utility bills, market forecasts, and live grid signals.
Equipment-level energy modeling
Energy use is mapped to boilers, compressors, EAFs, and other major loads, with modeled target usage as the baseline.
Continuous grid and market analysis
Live grid signals and market forecasts are evaluated continuously against the production plan.
Plant teams remain in control
Every load shift, storage cycle, or ramp recommendation is accepted, rejected, or adjusted by your team, so CVector captures plant-specific priorities and operator expertise over time.
Dollar-ranked scheduling, storage, and ramp recommendations
Plant teams see movable loads, timing, and value, with a full audit trail behind each recommendation.
Built in partnership with industrial leaders.
Energy exposure, priced against operating flexibility
Best fit for sites with high energy spend, flexible load, or grid-event risk where operations can act before the bill or fault arrives.
Chemicals & Industrial Gases
ASU, chlor-alkali, hydrogen, and RNG operations optimized against day-ahead and real-time energy prices.
Dispatchable Power
Load flexibility, capacity participation, and stacked-revenue capture priced in real time.
Metals & Foundries
EAF and process loads sequenced against day-ahead and real-time LMP curves to reduce peak-power and demand-charge exposure.
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